code: def setup_method(self):
      super().setup_method()
      self.model = torch.nn.Sequential(torch.nn.Linear(10, 10))
      self.optimizer = Optimizer.from_params(
          model_parameters=self.model.named_parameters(),
          params=Params({"type": "sgd", "lr": 1.0}),
      )
  
file_path: allennlp/tests/training/learning_rate_schedulers/combined_test.py
imports: import torch
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.common.params import Params
  from allennlp.training.learning_rate_schedulers import LearningRateScheduler, CombinedLearningRateScheduler, PolynomialDecay
  from allennlp.training.optimizers import Optimizer
label_desc: Use image node_id 1 for calling the TestCombinedLRScheduler obj's underlying member method code with example usage: obj.setup_method() without return types